Modelling Academic Risks of Students in a Polytechnic System with the Use of Discriminant Analysis

I.S. Fagoyinbo, R.Y. Akinbo, I.A. Ajibode

Abstract

This research work “Modelling Academic risks of students in a Polytechnic System with the Use of Discriminant Analysis”: A case Study of Federal Polytechnic Ilaro, Ogun State, identified students at academic risks i.e. those who are in danger of failing, repeating on probation or being withdrawn due to the level of their academic performance. Several methods exist for student’s identification for academic risks; these include the Bayesian approach, Von Mises (Minimax), Multiple Regression Analysis, etc. For this research work, the method adopted was the discriminant analysis which assist in classifying students into classes of grades i.e. Distinction, upper credit, Lower Credit, Pass and others who are in the risk group, the method was adopted due to its simplicity and its systemic classification of the phenomenon under study.